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Médias (1)
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The Slip - Artworks
26 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Texte
Autres articles (79)
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Qualité du média après traitement
21 juin 2013, parLe bon réglage du logiciel qui traite les média est important pour un équilibre entre les partis ( bande passante de l’hébergeur, qualité du média pour le rédacteur et le visiteur, accessibilité pour le visiteur ). Comment régler la qualité de son média ?
Plus la qualité du média est importante, plus la bande passante sera utilisée. Le visiteur avec une connexion internet à petit débit devra attendre plus longtemps. Inversement plus, la qualité du média est pauvre et donc le média devient dégradé voire (...) -
Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page.
Sur d’autres sites (8366)
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What is the best way to stream live video from OpenCV to browser (native codecs) ?
29 avril 2017, par trojekI have a webcam and I get a video to OpenCV, then I want to stream modified video to the browser.
Currently, I’m using jsmpeg which works well for low video resolutions.On this page I found the list of codecs which are natively supported by Safari, Chrome, Firefox, Opera and IE browsers. For example, H.264 is supported by above browsers.
How can I prepare stream from OpenCV, GStreamer or FFmpeg in order to get live streaming ?
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Stream Live IP cam to Youtube on FFMPEG
24 juillet 2018, par Håkon BerntsenI`m streaming 2 IP cams (live webcam for tourists) from 2 Raspberry Pi, using FFMPEG (version 3.4.2) to YouTube. IPcam no.1 and Raspberry no.1 fails once a month or so, and that issue is solved with a Cron job that restarts the scripts if the service is not running.
The stream from IPcam no.2 fail after 1 hour to maybe 24 hours, even though its the same FFMPEG command and same setup.
FFMPEG keep streaming and the service is running on the Raspberry. YouTube stop receiving the stream, but there is no logs to be found at YouTube.The bandwidth is not an issue (fiber), and the cameras are both connect with Cat5 cable. The only way to restart the stream (so YouTube restart the stream) is to restart the service (since its an cronjob that restart the service only if the service is no longer running, I`m forced to do a pkill). I have also tried to set up another cron job that kills the service every 15 minutes, but its not really an elegant solution.
Both cameras streams H264.
Stream no.2 can be seen here : https://www.youtube.com/embed/live_stream?channel=UCEJJjA5IsjE0JjuiqfxZFaw
The command I`m using is :
COMMAND="sudo ffmpeg -f lavfi -i anullsrc -thread_queue_size 512 -rtsp_transport tcp -i ${RTSP_URL} -vcodec libx264 -pix_fmt + -c:v copy -c:a aac -f flv ${YOUTUBE_URL}/${YOUTUBE_KEY}"
I hope there is someone that can help with ideas to the command or to why the stream fail.
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How to extract a fixed set of frames from a live video stream for machine learning prediction in PyTorch ?
12 avril 2022, par Samay LakhaniI recently created a Video Swin Transformer model that takes in a ([batch_size], 3, 32, 224, 224) [batch_size, channel, temporal_dim, height, width] tensor for video and outputs logits. The goal is to have the model predict on a live stream from a camera. Is there any way to capture the fixed sequence of 32 frames repetitively and have the model predict on a live stream. If prediction time is longer than 32 frames, can I stretch out the frames over a longer time period like a minute ? Thanks.